Chief Nutrition Officer Sifter Barrington, Illinois, United States
Abstract Background: Improving diet quality is the greatest opportunity to improve morbidity and mortality in the United States. 60% of adults have at least one chronic health condition. Incorporating nutrition digital technology when working with clients can make selecting healthy foods, the easy choice.
Abstract Methods: Sifter’s AI technology identifies food eligibility for hundreds of multivariable diets and preferences with precision at the item level and identifies where items are sold across more than 38,000 grocery stores. Using Sifter technology , a professional can create medically tailored grocery lists that empower clients to shop easily, save time and comply with dietary guidance. Sifter's precise "sifting" quickly filters and aligns with US FDA regulations and nutrition standards of care practices, including chronic diet-related conditions like food allergies, religious practices and diabetes. This sophisticated functionality extends reach into the grocery store making the healthy choice, the easy choice.
Abstract Results: A comprehensive review of 49 published studies on nutrition interventions show improved food security, improved dietary intake and health status, improved disease-specific health outcomes, decreased depression, and lower healthcare costs and healthcare utilization. Adding digital technology, powered by machine learning and scientific algorithms, can precisely identify foods that match special diets and align with multiple chronic conditions, cultural needs, and lifestyle preferences. This advanced technology modernizes and makes scaleable Food as Medicine. Creating medically tailored grocery kits, can be customized to align with the individual’s socioeconomic make-up and include convenience, pre-prepped, packaged foods that match unique dietary needs and lifestyle preferences. Food as Medicine programs must balance medical tailoring with cultural acceptability and emphasize a person-centered approach. The highest quality, evidence-based interventions are only successful if they meet a patient’s true needs and the right technology can make that possible.
Abstract Conclusion: Practitioners, health businesses recognized these programs and health incentives are an integral part of disease prevention and treatment. The goal is to improve health outcomes and drive down healthcare costs. Today’s technology has modernized healthcare and easily delivers interventions that support this goal. Future research should validate unique sub-population benefits.
Funding: N/A
Conflict of Interest: Judy Seybold is a co-founder of this nutrition as a service technology and responsible for the scientific algorithm development and eligibility precision results generated.
